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11 Cards in this Set
- Front
- Back
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When do you use the chi square test? What does it measure? |
You use this test with categorical data. It measures how different the observed data is from expected, if H0 is true |
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What are the degrees of freedom for the goodness of fit hypothesis? |
Number of levels (k) - 1 |
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What are the expected counts for the goodness of fit hypothesis? |
n/k for a uniform distribution H0 or npiH0 for each level i |
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Conditions for the goodness of fit test? |
All expected counts are greater than or equal to 1. <20% of EC have values less than 5 |
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How do you interpret the chi square statistic? |
Chi square components (contributions) display a numerical representation of how different the OC and the EC are. The larger the components, the more significant the results. |
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What are marginal distributions? |
These summarize each factor independently using the margins of a two-way table. |
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What are conditional distributions? |
These are the probabilities gained from the two way table that follow the form P(___ given ___) |
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What is the null hypothesis of chi square test for independence? |
There is no association between the row and column variables (they are independent) |
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What are the expected counts for the chi square test for independence? |
(row total X column total) / table total |
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What are the conditions for the chi square test of independence? |
<20% of expected counts are <5 and all expected counts are greater than or equal to 1 |
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DF for test of independence? |
(r-1)(c-1) |
